Job Description
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skill fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex.
How will you make an impact in this role?
The Infrastructure Data & Analytics team unifies FinOps, Data Science and Business Intelligence to enable Technology cost transparency, infrastructure performance optimization and commercial efficiency for the enterprise through consistent, high-quality data and predictive analytics. This team within Global Infrastructure aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost awareness. Metric-driven cost optimization, workload-specific forecasting and robust contract management are among the tools and practices required to drive accountability for delivering business solutions that derive maximum value. The result will provide a solid foundation for decision-making around cost, quality and speed.
We are seeking an experienced Data Engineer for our team who can design, develop and enhance of our data model and architecture. This team sets the foundation for how infrastructure utilization, consumption and asset inventory data is ingested, validated, and presented in our suite of reporting capabilities. The Data Engineer will develop and refine processes to ensure data quality (data accuracy, completeness, timeliness, consistency, uniqueness and relevance) is meeting the highest standards for our users. They will support teams in doing data quality testing and validation processes to identify where data pipelines are not fit for purpose or need improvement. This individual will be responsible for implementing our target data architecture, leveraging best practices for data management, automating data feeds and transformations, and maintaining excellent documentation.
Let’s build on what you know.
The role will require a unique blend of strong DataOps technical and design skills to translate business decisions into data requirements. This individual will build a deep understanding of the infrastructure data we use in order to work across the ID&A team and key stakeholders the appropriate data to tell a data story. This includes implementing and maintaining a data architecture that follows data management best practices for ensuring data ingestion, transformation, storage and analytics are handled according to their specific purpose using the appropriate tools: ingestion captures raw data without applying business logic, transformation processes data discretely for auditability, and analytical queries retrieve structured outputs without relying on upstream processes. They will be responsible for building and automating data pipelines to maximize data availability and efficiency, as well as migrating the data model and transformations to our target architecture. This individual will bring passion for data-driven decisions, enterprise solutions, and collaboration to the role, transforming platform data into actionable insights by utilizing data engineering and data visualization best practices.
Key responsibilities include:
Data Architecture: Perform all technical aspects of data architecture and database management for ID&A, including developing data pipelines, new database structures and APIs as applicable
Data Design: Translate logical data architectures into physical data designs, ensuring alignment with data modeling best practices and standards
Data Process and Monitoring: Ensure proper data ingestion, validation, testing, and monitoring for ID&A data lake
Data Quality Testing: Develop and provide subject matter expertise on data analysis, testing and Quality Assurance (QA) methodologies and processes
Support database and data platform administration for initiatives building, enhancing, or maintaining databases, data warehouses and data pipelines
Data Migration: Design and support migration to a technology-agnostic data model that decouples data architecture from specific tools or platform used for storage, processing, or access
Data Integrity: Ensure accuracy, completeness, and data quality, independent of upstream or downstream systems; collaborate with data owners to validate and refine data sources where applicable
Agile Methodologies: Function as a senior member of an agile feature team and manage data assets as per the enterprise standards, guidelines and policies
Collaboration: Partner closely with business intelligence team to capture and define data requirements for new and enhanced data visualizations
Prioritization: Work with product teams to prioritize new features for ongoing sprints and manage backlog
Continuous Improvement: Monitor performance and make recommendations for areas of opportunity/improvement for automation and tool usage
Compliance: Understand and abide by SDLC standards and policies
Liaison: Act as point of contact for data-related inquiries and data access requests
Innovation: Leverage the evolving technical landscape as needed, including AI, Big Data, Machine Learning and other technologies to deliver meaningful business insights
Minimum Requirements:
4+ years of DataOps engineering experience in implementing pipeline orchestration, data quality monitoring, governance, security processes, and self-service data access
Experience managing databases, ETL/ELT pipelines, data lake architectures, and real-time processing
Proficiency in API development and stream processing frameworks
Hands-on coding experience in Python
Hands-on expertise with design and development across one or more database management systems (e.g. SQL Server, PostgreSQL, Oracle)
Testing and Troubleshooting: Ability to test, troubleshoot, and debug data processes
Strong analytical skills with a proven ability to understand and document business data requirements in complete, accurate, extensible and flexible logical data models, data visualization tools (e.g. Apptio BI, PowerBI)
Ability to write efficient SQL queries to extract and manipulate data from relational databases, data warehouses and batch processing systems
Experience in data quality and QA testing methodologies
Fluent in data risk, management, and compliance terminology and best practices
Proven track record for managing large, complex ecosystems with multiple stakeholders
Self-starter who is able to problem-solve effectively, organize and document processes, and prioritize feature with limited guidance
An enterprise mindset that connects the dots across various requirements and the broader operations/infrastructure data architecture landscape
Excellent collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross-team communication
Understanding of complex software delivery including build, test, deployment, and operations; conversant in AI, Data Science, and Business Intelligence concepts and technology stack
Exposure to distributed (multi-tiered) systems, algorithms, IT asset management, cloud services, and relational databases
Foundational Public Cloud (AWS, Google, Microsoft) certification; advanced Public Cloud certifications a plus
Experience working in technology business management, technology infrastructure or data visualization teams a plus
Experience with design and coding across multiple platforms and languages a plus
Bachelor’s Degree in computer science, computer science engineering, data engineering, or related field required; advanced degree preferred
Salary Range: $78,000.00 to $124,750.00 annually + bonus + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site .
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, ****** orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the “ Know Your Rights ” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skill fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex.
How will you make an impact in this role?
The Infrastructure Data & Analytics team unifies FinOps, Data Science and Business Intelligence to enable Technology cost transparency, infrastructure performance optimization and commercial efficiency for the enterprise through consistent, high-quality data and predictive analytics. This team within Global Infrastructure aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost awareness. Metric-driven cost optimization, workload-specific forecasting and robust contract management are among the tools and practices required to drive accountability for delivering business solutions that derive maximum value. The result will provide a solid foundation for decision-making around cost, quality and speed.
We are seeking an experienced Data Engineer for our team who can design, develop and enhance of our data model and architecture. This team sets the foundation for how infrastructure utilization, consumption and asset inventory data is ingested, validated, and presented in our suite of reporting capabilities. The Data Engineer will develop and refine processes to ensure data quality (data accuracy, completeness, timeliness, consistency, uniqueness and relevance) is meeting the highest standards for our users. They will support teams in doing data quality testing and validation processes to identify where data pipelines are not fit for purpose or need improvement. This individual will be responsible for implementing our target data architecture, leveraging best practices for data management, automating data feeds and transformations, and maintaining excellent documentation.
Let’s build on what you know.
The role will require a unique blend of strong DataOps technical and design skills to translate business decisions into data requirements. This individual will build a deep understanding of the infrastructure data we use in order to work across the ID&A team and key stakeholders the appropriate data to tell a data story. This includes implementing and maintaining a data architecture that follows data management best practices for ensuring data ingestion, transformation, storage and analytics are handled according to their specific purpose using the appropriate tools: ingestion captures raw data without applying business logic, transformation processes data discretely for auditability, and analytical queries retrieve structured outputs without relying on upstream processes. They will be responsible for building and automating data pipelines to maximize data availability and efficiency, as well as migrating the data model and transformations to our target architecture. This individual will bring passion for data-driven decisions, enterprise solutions, and collaboration to the role, transforming platform data into actionable insights by utilizing data engineering and data visualization best practices.
Key responsibilities include:
Data Architecture: Perform all technical aspects of data architecture and database management for ID&A, including developing data pipelines, new database structures and APIs as applicable
Data Design: Translate logical data architectures into physical data designs, ensuring alignment with data modeling best practices and standards
Data Process and Monitoring: Ensure proper data ingestion, validation, testing, and monitoring for ID&A data lake
Data Quality Testing: Develop and provide subject matter expertise on data analysis, testing and Quality Assurance (QA) methodologies and processes
Support database and data platform administration for initiatives building, enhancing, or maintaining databases, data warehouses and data pipelines
Data Migration: Design and support migration to a technology-agnostic data model that decouples data architecture from specific tools or platform used for storage, processing, or access
Data Integrity: Ensure accuracy, completeness, and data quality, independent of upstream or downstream systems; collaborate with data owners to validate and refine data sources where applicable
Agile Methodologies: Function as a senior member of an agile feature team and manage data assets as per the enterprise standards, guidelines and policies
Collaboration: Partner closely with business intelligence team to capture and define data requirements for new and enhanced data visualizations
Prioritization: Work with product teams to prioritize new features for ongoing sprints and manage backlog
Continuous Improvement: Monitor performance and make recommendations for areas of opportunity/improvement for automation and tool usage
Compliance: Understand and abide by SDLC standards and policies
Liaison: Act as point of contact for data-related inquiries and data access requests
Innovation: Leverage the evolving technical landscape as needed, including AI, Big Data, Machine Learning and other technologies to deliver meaningful business insights
Minimum Requirements:
4+ years of DataOps engineering experience in implementing pipeline orchestration, data quality monitoring, governance, security processes, and self-service data access
Experience managing databases, ETL/ELT pipelines, data lake architectures, and real-time processing
Proficiency in API development and stream processing frameworks
Hands-on coding experience in Python
Hands-on expertise with design and development across one or more database management systems (e.g. SQL Server, PostgreSQL, Oracle)
Testing and Troubleshooting: Ability to test, troubleshoot, and debug data processes
Strong analytical skills with a proven ability to understand and document business data requirements in complete, accurate, extensible and flexible logical data models, data visualization tools (e.g. Apptio BI, PowerBI)
Ability to write efficient SQL queries to extract and manipulate data from relational databases, data warehouses and batch processing systems
Experience in data quality and QA testing methodologies
Fluent in data risk, management, and compliance terminology and best practices
Proven track record for managing large, complex ecosystems with multiple stakeholders
Self-starter who is able to problem-solve effectively, organize and document processes, and prioritize feature with limited guidance
An enterprise mindset that connects the dots across various requirements and the broader operations/infrastructure data architecture landscape
Excellent collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross-team communication
Understanding of complex software delivery including build, test, deployment, and operations; conversant in AI, Data Science, and Business Intelligence concepts and technology stack
Exposure to distributed (multi-tiered) systems, algorithms, IT asset management, cloud services, and relational databases
Foundational Public Cloud (AWS, Google, Microsoft) certification; advanced Public Cloud certifications a plus
Experience working in technology business management, technology infrastructure or data visualization teams a plus
Experience with design and coding across multiple platforms and languages a plus
Bachelor’s Degree in computer science, computer science engineering, data engineering, or related field required; advanced degree preferred
Salary Range: $78,000.00 to $124,750.00 annually + bonus + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site .
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, ****** orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the “ Know Your Rights ” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer- post position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Phoenix offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
